Data Analysis and Migration
Overview: ITegrators provides expert data analysis and migration services to help you manage and leverage your data effectively. Our solutions ensure that your data is accurately analyzed, securely migrated, and readily accessible for informed decision-making.
Key Features:
- Data Analysis: Comprehensive analysis of your data to derive valuable insights.
- Data Migration: Secure and efficient migration of data from legacy systems to new platforms.
- Data Integrity: Ensuring data integrity and accuracy throughout the migration process.
- Reporting and Visualization: Providing intuitive reporting and visualization tools to help you understand your data better.
Benefits:
- Valuable insights from data analysis
- Secure and efficient data migration
- Enhanced data integrity
- Informed decision-making
Why Choose ITegrators? Our expertise in data analysis and migration ensures that your data is managed effectively, driving informed decision-making and business growth.
Understanding Data Migration
Data migration is not just a process of transferring data from source A to destination B. It involves complex processes and demands for a step-by-step execution of the migration process. If the data migration process is carried out without authorization and understanding of the data migration needs, there is a high risk of data losses and other impacts on the business processes such as revenue loss, facing downtime, time and resources involved in data correction, impact on the public relations and more.
To overcome the inherent risk in the data migration process it is important to understand the data migration life cycle.
“Analysis of data migration projects over the years has shown that they meet with mixed results. While mission-critical to the success of the business initiatives they are meant to facilitate, lack of planning structure and attention to risks causes many data migration efforts to fail.” (Gartner, “Risks and Challenges in Data Migrations and Conversions,” February 2009, ID Number: G00165710)
The following information describes the data migration strategy from on-premise to cloud platforms.
Data Migration life cycle
Choose application -> Migration assessment -> Schema and code conversion -> Data conversion and synchronization -> Testing -> Training -> Production Go-live -> Health Check
Choose Data Migration Application
If it is the first data migration process, then start slow, with fewer challenges and risks of migration. Select the application or set of databases that you want to move to the destination database center. You can hire an experienced database administrator or a third-party data migration service provider. Look for the application or a tool, which can help you to convert the source code for easy modification in a new database environment.
ETL tools usually support multiple databases. The capability of establishing Open database connectivity (ODBC) and Java database connectivity (JDBC) connection assist with simple and compatible migration.
Data Warehouse Assessment
During the migration assessment, one must consider the factors such as technology process and personnel and tool requirements.
The first step of the migration process is to analyze the enterprise data warehouse or source systems and application. This will evaluate the challenges involved for the source to target database migration, various data complexities, etc. Following is the checklist for the Data warehouse assessment or data migration assessment:
- Understanding both Data Source and Target
- Detailed discovery of data
- Defining mapping specifications
- Workload pattern analysis
- Identifying underlying dependencies & complexities
- Budgeting and deadline
- Defining Migration Strategy
- Utilizing Human Resource
- Selecting the right tools and technologies
You can utilize the automated tools for data warehouse assessment.
Schema and Code Migration
The schema or code migration process is pretty straightforward, in which SQL syntax and data types are converted from source to destination syntax and data types.
For the successful schema conversion, after the automated product procedure, the DBA or developer must review the complete conversion for establishing a fully working destination environment.
Data Migration and Sync
Once you have successfully converted the schema, the next process is to migrate the data from source to destination database. It is always advisable to perform migration of subset or testing dataset first in development and then at staging environments. Post assurance migrate the data in full production or destination environment
The approaches for data migration and synchronization depends on the following factors:
- Size of the database
- Rate of data change
- Permitted downtime
In the end, verify the data if it is correctly synchronized without losing data integrity at the destination.
Testing & Database Validation
Post data migration, the entire database has to be validated. It is mandatory to perform the following testing:
- Business logic testing
- Functional testing
- Performance testing
- Load testing
Along with these testing, execute backup and restore procedure testing, validate configuration, deployment processes and operational activities.
In order to automate the data validation process, you can use some tool. They are designed for automating the data validation, reconciliation and comparison of datasets across two heterogeneous data stores till cell level.
Training
The stakeholders, especially the developers, DBAs, and the operation team who are responsible for the data migration process must have the training to work during all phases of migration.
Production Go-live
Before the production goes live, perform activities on the migrated databases such as final data synchronization, application configuration, updating DNS entries and accesses, etc. It is always recommended to break up data migration activities into a logical and functional manner before moving on to the production go-live.
Support and Health Check
If you can’t take risk of downtime or data loss, schedule the database health check at regular intervals of time. It not only helps to address the underlying problems but also gives time to proactively prevent or deal with them.
Summary
Data migration to the cloud can help customers leverage their data for achieving new insights and business outcomes while saving cost and improving system performance. Thus it is necessary to execute the process properly and in a timely manner. We at ITegrators ensure that our customers have a seamless and risk free cloud migration journey.